Add of AI Functions

CODEOWNERS

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+# Require review from the Maintainers team for any change
+* @your-org/DWA_Owner

README.md

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-# DWA - Data Warehouse Automation Framework<BR> (Fabric Edition)
+# DWA - Data Warehouse Automation Framework (Fabric Edition)
+
 ## Welcome
-Welcome to the [Prodata](https://www.prodata.ie) Fabric Data warheouse Automation Framework. DWA is a meta data automation framework for data warheousing and data engineering. 
-We have been developing and improving this framework for 15 years and now it is available for Open Source for you to try.
-<BR>
+
+Welcome to the Prodata Fabric Data Warehouse Automation Framework. DWA is a metadata automation framework for data warehousing and data engineering. We have been developing and improving this framework for 15 years, and it is now available as open source for you to try.
+
 ## Overview
+
 ![image](https://github.com/user-attachments/assets/678020fe-ead9-41f9-a77e-597350fa5e45)
 
-The DWA Framework supports the entire enterprise data warheouse lifecycle or other data engineering project by reducing data engineering pipelines and tasks ot meta data and enforcing common 
-Enterprise Features (logging, lineage, error handling), orchestration and a very flexible template library
+The DWA framework supports the entire enterprise data warehouse lifecycle (and other data engineering projects) by reducing data engineering pipelines and tasks to metadata and enforcing common enterprise features such as logging, lineage, and error handling, along with orchestration and a flexible template library.
 
 ## Getting Started and Documentation
-You can browse this Github repos to use some of the Templates for ideas on your project.<BR>
-If you wwant to install the framework and try it out, or look deeper into documentation, examples and demos then 
-read the wiki below
+
+You can browse this GitHub repository to use some of the templates for ideas on your project.
+
+For installation instructions, examples, demos, and deeper documentation, see the project wiki:
 
 https://github.com/ProdataSQL/DWA/wiki
-<BR>
 
 ## Engaging with Prodata for a Quick Start
-if you want to try the Framework on your own Fabric environment, then Prodata offers a Fabric Data Warehouse Quick Start.
-This is 2-3 weeks ot install framework and create a sample Proof of Concept using your actual data and then provide walk through and training on the concepts 
-to accelerate your getting started with Fabric.
-<BR>
-<BR>
-More details on the link below
+
+If you want to try the framework in your Fabric environment, Prodata offers a Fabric Data Warehouse Quick Start. This is a 2–3 week engagement to install the framework, create a sample proof of concept using your actual data, and provide a walkthrough and training to accelerate your adoption of Fabric.
+
+More details:
 https://prodata.ie/fabric-poc/
-<BR>
+
 ## Videos
 
 ### Introduction to DWA in Fabric
 [![image](https://github.com/user-attachments/assets/0cce133b-1d61-4cc0-9f58-70eac999de5b)](https://www.youtube.com/watch?v=9hkCDL8TKSQ)
-<BR>
+
 ### 20-Minute Demo of automated Ingest, Extract, Transform and Load
 [![image](https://github.com/user-attachments/assets/47026239-97f7-48a9-81b5-da2d4d070d9f)](https://www.youtube.com/watch?v=Wc_JE8YsT90)
-<BR>
-### Other Videos and Tutorials
-[Tutorials Wiki Site](https://github.com/ProdataSQL/DWA/wiki/8.-Tutorials) 
 
+### Other Videos and Tutorials
+Tutorials Wiki Site: https://github.com/ProdataSQL/DWA/wiki/8.-Tutorials